Hierarchical nuclear norm penalization for multi-view data integration
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Publication:6589232
DOI10.1111/biom.13893zbMATH Open1543.62651MaRDI QIDQ6589232
Raymond Ka Wai Wong, Sangyoon Yi, Irina Gaynanova
Publication date: 19 August 2024
Published in: Biometrics (Search for Journal in Brave)
Cites Work
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- Reduced rank regression via adaptive nuclear norm penalization
- Angle-based joint and individual variation explained
- Bi-cross-validation of the SVD and the nonnegative matrix factorization
- Adaptive shrinkage of singular values
- Estimation of (near) low-rank matrices with noise and high-dimensional scaling
- Dual block-coordinate forward-backward algorithm with application to deconvolution and deinterlacing of video sequences
- Proximal algorithms in statistics and machine learning
- Joint and individual variation explained (JIVE) for integrated analysis of multiple data types
- Bidimensional linked matrix factorization for pan-omics pan-cancer analysis
- Exact matrix completion via convex optimization
- Incorporating covariates into integrated factor analysis of multi‐view data
- Unbiased Risk Estimates for Singular Value Thresholding and Spectral Estimators
- Double-Matched Matrix Decomposition for Multi-View Data
- Structural learning and integrative decomposition of multi‐view data
- Integrative factorization of bidimensionally linked matrices
- The Elements of Statistical Learning
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